Biasing Techniques for Gamma Rays going around Efficient Shields
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Bibliographic record
Abstract
This paper describes a method based on a combination of the exponential transformation, the angular biasing and the region of imposed collision. This combination can be employed in Multigroup Monte Carlo radiation transport calculations particularly in deep penetration problems for complex geometry. To test the effectiveness of this method, we have applied it to a practical case concerning the evaluation of gamma rays, which skirt a region of perfect shield within a graphite medium and contribute to a finite detector, placed behind the perfect shield. An isotropic punctual and mono-energetic gamma source is placed at the other side of the shield. The current obtained for our multigroup Monte Carlo program agrees with MCNP4B code with a high figure of Merit. The gamma ray cross section used was collapsed to 75 groups from ENDF/B-VI library.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it